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Table of Contents
What map does (and when to use it)
Filtering with filter (not just for search)
Reduce for summarizing data
Home PHP Framework Laravel Working with Laravel Collection methods (map, filter, reduce).

Working with Laravel Collection methods (map, filter, reduce).

Jul 25, 2025 am 01:19 AM
集合方法

The map, filter and reduce methods in the Laravel collection can efficiently process data. 1. Map is used to convert each element in the collection, suitable for formatting or reconstructing data; 2. Filter is used to filter elements that meet the conditions, suitable for filtering invalid or specific conditions; 3. Reduce is used to summarize data, such as calculating the sum or counting the number of classifications. These methods make the code more concise and easy to maintain, and are suitable for handling small and medium-sized datasets.

Working with Laravel Collection methods (map, filter, reduce).

Laravel collections are one of the most powerful and underappreciated parts of the framework. They let you work with arrays of data in a clean, expressive way — especially when you're dealing with Eloquent results or processing data from APIs. If you're new to Laravel or haven't really used collection methods beyond ->all() or ->toArray() , it's time to level up.

Working with Laravel Collection methods (map, filter, reduce).

Here's how to make real use of three key collection methods: map , filter , and reduce .


What map does (and when to use it)

map is for transforming each item in a collection. Think of it like looping through an array and modifying each element — but cleaner and more readable.

Working with Laravel Collection methods (map, filter, reduce).

Let's say you have a collection of user objects and you want to format their names:

 $users = collect([
    ['id' => 1, 'name' => 'john doe'],
    ['id' => 2, 'name' => 'jane smith'],
]);

$formatted = $users->map(function ($user) {
    Return [
        'id' => $user['id'],
        'name' => ucwords($user['name']),
    ];
});

This returns a new collection where all names are title-cased.

Working with Laravel Collection methods (map, filter, reduce).

Key points:

  • Always returns a collection of the same size.
  • Each item is passed through your callback.
  • You can return a modified version of the item.

You'll often use map after fetching data from the database if you need to restore or format it before sending it to the frontend or view.


The filter method lets you keep only the items that match certain conditions. It's kind of like SQL WHERE clauses, but for collections.

Say you want to get only active users:

 $activeUsers = $users->filter(function ($user) {
    return $user['status'] === 'active';
});

Or maybe you want to find products over a certain price:

 $expensiveProducts = $products->filter(fn($product) => $product['price'] > 100);

Tips:

  • Return true to keep the item, false to exclude it.
  • Works great for filtering out nulls or invalid entries.
  • You can chain multiple filters if needed.

One thing to watch: unlike SQL, this runs in PHP memory, so be careful using it on huge datasets.


Reduce for summarizing data

If you need to roll up data into a single value — like summary totals, counting statuses, or building a custom summary — reduce is your tool.

For example, calculating total order value:

 $total = $orders->reduce(function ($carry, $order) {
    return $carry $order['amount'];
}, 0);

Another common case: grouping by category or status counts.

 $statusCounts = $tasks->reduce(function ($carry, $task) {
    $status = $task['status'];
    if (!isset($carry[$status])) {
        $carry[$status] = 0;
    }
    $carry[$status] ;
    return $carry;
}, []);

That gives you something like:

 [
    'pending' => 5,
    'completed' => 3,
]

Important things to know:

  • The first argument is the accumulator ( $carry )
  • Second is the current item
  • You usually start with a default value (like 0 or [] )
  • Whatever you return becomes the next $carry

Reduce takes a bit more thinking than map or filter , but once you get the hang of it, it opens up a lot of possibilities.


These three methods alone — map , filter , and reduce — cover a lot of ground when working with collections. Use them together, and you can process complex data sets with minimal code.

They might not always be the fastest option (especially on large collections), but they make your code clearer and easier to maintain. And that's what matters most in most apps.

Basically that's it.

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